Invoice Table Detection with Table Transformer

I show how an open-source transformer model from Microsoft for table detection and structure recognition works. The code is integrated into Sparrow Parse and runs on a local CPU. This approach helps to crop the table area first and then get coordinates for the table cells. Each cell can be cropped and text can be extracted with OCR. This allows retaining the original table structure and reporting the result in JSON or CSV formats. The data extraction part is not in this video; this will be the topic for the next video.